A python script to dump all the challenges locally of a CTFd-based Capture the Flag.

Related tags

Deep Learningpythonparserchallengesdumpctfctfd
Overview

A python script to dump all the challenges locally of a CTFd-based Capture the Flag.
GitHub release (latest by date) YouTube Channel Subscribers

Features

  • Connects and logins to a remote CTFd instance.
  • Dumps all the challenges by category.
  • Download attached files.
  • Prints a ✔️ or a ❌ to indicate if the challenge is solved or not.

Usage

$ ./ctfd_parser.py -h
       _____ _______ ______  _   _____
      / ____|__   __|  ____|| | |  __ \
     | |       | |  | |__ __| | | |__) |_ _ _ __ ___  ___ _ __
     | |       | |  |  __/ _` | |  ___/ _` | '__/ __|/ _ \ '__|    v1.1
     | |____   | |  | | | (_| | | |  | (_| | |  \__ \  __/ |
      \_____|  |_|  |_|  \__,_| |_|   \__,_|_|  |___/\___|_|       @podalirius_

usage: ctfd_parser.py [-h] -t TARGET -u USER -p PASSWORD [-T THREADS] [-v]

CTFdParser

optional arguments:
  -h, --help            show this help message and exit
  -t TARGET, --target TARGET
                        CTFd target (domain or ip)
  -u USER, --user USER  Username to login to CTFd
  -p PASSWORD, --password PASSWORD
                        Password to login to CTFd
  -T THREADS, --threads THREADS
                        Number of threads (default: 8)
  -v, --verbose         Verbose mode. (default: False)

Demonstration

Contributors

Pull requests are welcome. Feel free to open an issue if you want to add other features.

You might also like...
FwordCTF 2021 Infrastructure and Source code of Web/Bash challenges

FwordCTF 2021 You can find here the source code of the challenges I wrote (Web and Bash) in FwordCTF 2021 and the source code of the platform with our

Kahla 5 Nov 25, 2022
Writeups for the challenges from DownUnderCTF 2021

cloud Challenge Author Difficulty Release Round Bad Bucket Blue Alder easy round 1 Not as Bad Bucket Blue Alder easy round 1 Lost n Found Blue Alder m

DownUnderCTF 161 Dec 31, 2022
CTF challenges and write-ups for MicroCTF 2021.

MicroCTF 2021 Qualifications About This repository contains CTF challenges and official write-ups for MicroCTF 2021 Qualifications. License Distribute

Shellmates 12 Dec 27, 2022
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI

Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab

styvio 14 May 25, 2022
A simple image/video to Desmos graph converter run locally
A simple image/video to Desmos graph converter run locally

Desmos Bezier Renderer A simple image/video to Desmos graph converter run locally Sample Result Setup Install dependencies apt update apt install git

Kevin JY Cui 339 Dec 23, 2022
Code for the CVPR2021 paper
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition This repository contains code for the CVPR2021 paper "Patch-NetV

QVPR 368 Jan 6, 2023
[CVPR'21] Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration This repository contains the implementation of our paper Locally Aware Pi

sfwang 70 Dec 19, 2022
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Nerdy Rodent 2.3k Jan 4, 2023
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

LESA Introduction This repository contains the official implementation of Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Cont

Chenglin Yang 20 Dec 31, 2021
Comments
  • Challenge Files Do Not Download

    Challenge Files Do Not Download 

    connection_info = chall_json["connection_info"]
if len(connection_info) != 0:
    f.write("%s\n\n" % connection_info)

    The second line above causes an exception and challenge files do not download. This seems to happen when connection_info == None.

    Changed it to if connection_info != None and len(connection_info) != 0:

    opened by PMVamsi 1
  • File Download Issue When Header Doesn't Include

    File Download Issue When Header Doesn't Include "Content-Length"

    When parsing https://byu.ctfd.io, In line 120: size = int(r.headers["Content-Length"])

    throws an error, because headers["Content-Length"] does not exist.

    Commented that line and set size = 0

    However, when investigating what size was being used for, I saw that it takes two paths in line 127. Was not obvious what the difference was between lines 128-131 and 133-136

    opened by PMVamsi 0
Releases(1.1)
Owner
Podalirius
Security Researcher 🕵️‍♂️ | Speaker 📣
Podalirius
GitHub Repository https://podalirius.net/
Council-GAN - Implementation for our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020)

Council-GAN Implementation of our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020) Paper Ori Nizan , Ayellet Tal, Breaking the Cycle

ori nizan 260 Nov 16, 2022
Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equations and real world time series data

Authors Marcus Lenler Garsdal, [email protected] Valdemar Søgaard, Simon Moe Sørensen 6 Sep 05, 2022

Official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021.

Introduction This repository is the official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021. Data-free Kno

NVIDIA Research Projects 50 Jan 05, 2023
Official implementation of Long-Short Transformer in PyTorch.

Long-Short Transformer (Transformer-LS) This repository hosts the code and models for the paper: Long-Short Transformer: Efficient Transformers for La

NVIDIA Corporation 198 Dec 29, 2022
PyTorch implementation of DCT fast weight RNNs

DCT based fast weights This repository contains the official code for the paper: Training and Generating Neural Networks in Compressed Weight Space. T

Kazuki Irie 4 Dec 24, 2022
Implementation of Ag-Grid component for Streamlit

streamlit-aggrid AgGrid is an awsome grid for web frontend. More information in https://www.ag-grid.com/. Consider purchasing a license from Ag-Grid i

Pablo Fonseca 556 Dec 31, 2022
Official code for 'Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urban Driving Scenes'

PEBAL This repo contains the Pytorch implementation of our paper: Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urba

Yu Tian 115 Dec 29, 2022
Contrastive Feature Loss for Image Prediction

Contrastive Feature Loss for Image Prediction We provide a PyTorch implementation of our contrastive feature loss presented in: Contrastive Feature Lo

Alex Andonian 44 Oct 05, 2022
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency[ECCV 2020]

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency(ECCV 2020) This is an official python implementati

304 Jan 03, 2023
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding This repo contains the data and source code for baseline models in the NeurIPS 2

Microsoft 29 Dec 29, 2022
Re-implementation of the vector capsule with dynamic routing

VectorCapsule Re-implementation of the vector capsule with dynamic routing We implement the vector capsule and dynamic routing via graph neural networ

ZhenchaoTang 10 Feb 10, 2022
PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners

Masked Autoencoders: A PyTorch Implementation This is a PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners: @

Meta Research 4.8k Jan 04, 2023
Scheduling BilinearRewards

Scheduling_BilinearRewards Requirement Python 3 =3.5 Structure main.py This file includes the main function. For getting the results in Figure 1, ple

junghun.kim 0 Nov 25, 2021
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written

Roger Labbe 13k Dec 29, 2022
BEGAN in PyTorch

BEGAN in PyTorch This project is still in progress. If you are looking for the working code, use BEGAN-tensorflow. Requirements Python 2.7 Pillow tqdm

Taehoon Kim 260 Dec 07, 2022
Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

Evaluating the Factual Consistency of Abstractive Text Summarization Authors: Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher Int

Salesforce 165 Dec 21, 2022
Testing and Estimation of structural breaks in Stata

xtbreak estimating and testing for many known and unknown structural breaks in time series and panel data. For an overview of xtbreak test see xtbreak

Jan Ditzen 13 Jun 19, 2022
Relaxed-machines - explorations in neuro-symbolic differentiable interpreters

Relaxed Machines Explorations in neuro-symbolic differentiable interpreters. Baby steps: inc_stop Libraries JAX Haiku Optax Resources Chapter 3 (∂4: A

Nada Amin 6 Feb 02, 2022
The CLRS Algorithmic Reasoning Benchmark

Learning representations of algorithms is an emerging area of machine learning, seeking to bridge concepts from neural networks with classical algorithms.

DeepMind 251 Jan 05, 2023
A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.

Exploring simple siamese representation learning This is a PyTorch re-implementation of the SimSiam paper on ImageNet dataset. The results match that

Taojiannan Yang 72 Nov 09, 2022